Algorithm fusion for the detection and classification of sea mines in the very shallow water region using side-scan sonar imagery

被引：29
作者：
Dobeck, GJ [1 ]
机构：
[1] NSWC Coastal Syst Stn, Dahlgren Div, Panama City, FL 32407 USA
来源：
DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS V, PTS 1 AND 2 | 2000年 / 4038卷
关键词：
sea mines; naval mines; automatic detection; automatic classification; sensor fusion; data fusion; algorithm fusion; side-looking sonar; side-scan sonar; sonar imagery;
D O I：
10.1117/12.396262
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The very shallow water regions contain much mine-like clutter, which cause high false alarm rates in minehunting sonar systems. This paper presents a method for reducing false alarms by the fusion of multiple detection and classification algorithms. The algorithm fusion method is based on the well-known Fisher Discriminant.
引用
收藏
页码：348 / 361
页数：14
相关论文
共 36 条
  • [1] ARIDGIDES A, 2000, P SPIE 2000, V4038
  • [2] ARIDGIDES T, 1995, P SOC PHOTO-OPT INS, V2496, P475, DOI 10.1117/12.211345
  • [3] Adaptive clutter suppression and fusion processing string for sea mine detection and classification in sonar imagery
    Aridgides, T
    Fernandez, M
    Dobeck, G
    [J]. DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS III, PTS 1 AND 2, 1998, 3392 : 243 - 254
  • [4] Adaptive 3-dimensional range-crossrange-frequency filter processing string for sea mine classification in side-scan sonar Imagery
    Aridgides, T
    Fernandez, M
    Dobeck, G
    [J]. DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS II, 1997, 3079 : 111 - 122
  • [5] Adaptive filter/feature orthogonalization processing string for optimal LLRT mine classification in side-scan sonar imagery
    Aridgides, T
    Libera, P
    Fernandez, M
    Dobeck, G
    [J]. DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS, 1996, 2765 : 110 - 121
  • [6] Adaptive clutter suppression, sea mine detection/classification and fusion processing string for sonar imagery
    Aridgides, T
    Fernández, M
    Dobeck, G
    [J]. DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS IV, PTS 1 AND 2, 1999, 3710 : 626 - 637
  • [7] Detection of mine and mine-like objects in forward looking sonar data with direct sum successive approximation templates
    Barnes, CF
    Hallenborg, PA
    Patel, S
    Fisher, D
    [J]. DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS IV, PTS 1 AND 2, 1999, 3710 : 670 - 674
  • [8] BELLO MG, 1995, P SOC PHOTO-OPT INS, V2496, P466, DOI 10.1117/12.211344
  • [9] Hierarchical multilayer perceptron network based fusion algorithms for detection/classification of mines using multiple acoustic images and magnetic data
    Bello, MG
    [J]. DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS, 1996, 2765 : 84 - 109
  • [10] Acoustic/magnetic fusion system architecture variants and their classification performance
    Bello, MG
    [J]. DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS II, 1997, 3079 : 138 - 157
1234